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The Human Body and Data Center Automation | @CloudExpo #AI #ML #DataCenter
The nervous system has two components: the central nervous system and the peripheral nervous system

The Human Body and Data Center Automation - Part 2

Disclaimer: I am an IT guy and my knowledge on human body is limited to my daughter's high school biology class book and information obtained from search engines. So, excuse me if any of the information below is not represented accurately !!

Human body is the most complex machine ever created. With a complex network of interconnected organs, millions of cells and the most advanced processor, human body is the most automated system in this planet. In this article, we will draw comparisons between working of a human body to that of a data center. We will draw parallels between human body automation to data center automation and explain different levels of automation we need to drive in data centers. This article is divided into four parts covering each of body main functions and drawing parallels on automation. This is the second article in the human body series. Please click here for the link for first article

The nervous system
The nervous system is a complex collection of nerves and specialized cells known as neurons that transmit signals between different parts of the body. It is through the nervous system that we communicate with the outside world and, at the same time, many mechanisms inside our body are controlled. The nervous system takes in information through our senses, processes the information and triggers reactions, such as making your muscles move or causing you to feel pain. The closest comparison to nervous system to what is in our data center is the network. Much like the network connects everything together in the data center, nervous system essentially is the body's network system.

The nervous system has two components: the central nervous system and the peripheral nervous system. The central nervous system is made up of the brain, spinal cord and nerves. The peripheral nervous system consists of sensory neurons, ganglia (clusters of neurons) and nerves that connect to one another and to the central nervous system. Imagine this as core network (central) and data center network (peripheral). However, what is so fascinating about our nervous system is the way it works. Let's take a deep dive inside our body and learn how can we make our networks more efficient.

Image Source: Livescience.com

The nervous system has two main subdivisions: the somatic, or voluntary, component; and the autonomic, or involuntary, component. The autonomic nervous system regulates certain body processes, such as blood pressure and the rate of breathing, that work without conscious effort. It is constantly active, regulating things such as breathing, heart beat and metabolic processes. It does this by receiving signals from the brain and passing them on to the body. It can also send signals in the other direction - from the body to the brain - providing your brain with information about how full your bladder is or how quickly your heart is beating.

Now can you think what system in our data center comes close to autonomic nervous system? It's our monitoring system. The function of monitoring system in data center is to monitor health of various components(hardware/software) in our data center and alert us when the thresholds are breached or an error has occurred. In most of the modern data centers today there is some tool which does this job. Alerts and error logs are collected at all layers and once an error has occurred or particular KPIs crosses certain threshold, an event is generated and humans are notified to take action. However, where the human body defeats any modern monitoring system is ability to take autonomic actions based on situation. Let's imagine you on a treadmill and running. When you are running and as the heart rates goes up, the brain is not just sending out alerts to you indicating your heart rate is going up but it also taking appropriate actions to ensure the body continues to function. The first action is to breakdown glycogen, a form of glucose to give you extra dose of energy.

The second action is to draw more blood towards your muscles which are under stress and away from non-needed functions like digestion (unless you are eating while excising). Since the body needs more oxygen for your muscles it signals your lungs to intake more oxygen and hence your breathing rate goes up. As the body burns more glucose and your body heats up, your brain sends signals to your sweat glands to release moisture to keep the body cool and hence maintains temperature inside the body. All these actions without you telling your body what to do to keep you healthy. Only if the thresholds crosses beyond certain rate and your body is not able to fix you, it will signal us to take action like resting or slowing down. This is exactly how our monitoring system should work. However, what happens in most of the enterprise is a sorry state of affairs.

Let's consider a very common issue most of the enterprise faces - a performance issue. Consider that the mission critical business application running on your server is experiencing performance issues and the users are complaining. In a typical organization, an application user will do first level analysis and based on his/her analysis he will open an incident ticket with command center. Everyone from systems engineer, storage engineer, network engineer and specialized performance engineers are paged to figure out what's happening. Hours are spent to detect where in the fabric there is contention which is leading to performance issue. Once the issue is detected another few hours are spent to finalize the action plan and finally the fix is put in place. Sounds familiar.

Now imagine we can learn from our human body and can design our data center in such a way that the system should automatically detect something is going wrong in the fabric and find out where in the fabric there is issue. Once the issue is detected it identifies appropriate fix and implements the fix. If the system detects performance issue is because of underlying CPU constraint on one of the VMs, the system should either scale up CPU capacity on the VM or automatically horizontally scale the application by adding another VM or container. If the issue was detected at network level, system should be in a position to move entire VLAN to another healthy leaf switch. If the issue happened at DC level, the system should automatically fail over all the impacted applications to another DC. While some of the modern cloud native applications works in similar fashion, the same level of maturity is not seen in traditional applications.

The somatic system consists of nerves that connect the brain and spinal cord with muscles and sensory receptors in the skin. The voluntary nervous system (somatic nervous system) controls all the things that we are aware of and can consciously influence, such as moving our arms, legs and other parts of the body. The nerves (like the network cables in our DC), starts at the brain and central cord and branches out to every part of our body. Neurons (intelligent code) send signals to other cells though thin fibers called axons, which causes chemical known as neuro transmitter to be released at junctions called synapses. A synapse gives command to the cell and the entire communication takes a fraction of a second. Such is the speed of transmission in our human body that our fastest router in the world cannot come close to this.

Let's take an example. Imagine someone tapping you lightly on your shoulder and your immediate reaction is to turn around and see who is doing that. The sensory neurons (cells) on our shoulder transmit the signals to your brain via the nerves at such a fast pace that you immediately react. Now imagine someone tapping at your shoulder and it takes few seconds to a minute for your body to react to the signal J . The way our body reacts to various form of sense (touch, smell, taste, etc.) and the fact we don't have to manage every action indicates how advance is our body's automation system. The body sensor systems are like the sensors in our data center. The role of sensors is to collect the data and send it for further processing. While we have lot of maturity to collect data what we lack is how fast can we analyze the data to take appropriate action. This is where our Brain checkmates even the fastest of all computers including IBM Watson. Our brain is a combination of Big Data system, e.g., Hadoop, the intelligence of IBM Watson and fastest super compute in the world all combined into one. Let's look at our brain.

Image Source: diseasespictures.com

Brain - Our Brain is the intelligence of our body. It controls all actions in our body. It acts as both CPU and memory for our body and without brains you are almost like walking zombie who has no control of his or her actions. Inside the data center, CPU/Memory inside our servers combined with the software which runs on top of these acts like brain. However, we are still far to match the amount of computing capacity our brain has and more important the learning and intuitive capabilities our brain has.

The fastest supercomputer in the world is China's Sunway Taihulight  and has a maximum processing speed of 93 petaFLOPS. A petaFLOP is a quadrillion (one thousand trillion) floating point calculations per second. Still this does not come close to processing speed of the human brain. It is postulated that the human brain operates at 1 exaFLOP, which is equivalent to a billion billion calculations per second. While the hardware which is, the muscular structure can be compared with chip set we have in our computers, it's the software which makes the difference.

Our brain controls the nervous system, the muscular system and other vital parts of our body. It also has tremendous learning capability. When a child is born, our brain is almost empty but is in a learning mode. It quickly learns how to interact with the outside world and starts to read data from the sense organs. This is how we react to taste, touch and sound. As we grow we learn how to talk, write and communicate. We learn how to walk, run and jump! In the software world, we call it as AI - Artificial intelligence. Humans have been trying for centuries on how to develop brain like self-learning capabilities and while we now have self-driving cars which is pushing the envelope, we are still far away from truly matching our brain's power.

Now the brain cannot work out of isolation. It gets all the data it needs from our sensory organs - eyes, nose, tongue. We interact with the world with the help of our sensory organs. Eyes gives us visual data , nose gives us smell related data while the tongue allows us to taste. Do you know that our tongue alone has millions of sensors which allows to distinguish various tastes from sour to sweet and from hot to cold! Imagine the status of all restaurants if we did not have these sensors. On the other hand, our nose has sensors to not only detect various smell but also acts as a self-defense organ.

In our data centers, we need similar capabilities. Inside the compute, we have sensors which tells us that the filesystem is getting full or inside the router we can tell if we have packet drops happening. We name them as alerts and in a given day millions of alerts are generated by all the systems running in an enterprise. The difference here is what do we do the alerts? If every alert is dependent on human to take manual intervention it will be as good as our tongue telling you that the coffee you are drinking is very hot and waiting for an action to be decided by you on whether you should stop drinking. Your tongue sends alert to your brain, your brain processes information and decides it's too dangerous and immediately takes action to control your actions. Now you may still drink it cause harm but the body takes immediate action to prevent the harm.

Similarly, with the alerts coming from our systems, we need to develop systems which can take immediate actions (self-heal) and not wait for human intervention all the time. If the filesystem is full, take immediate action to detect and fix what is causing it to be full. If the security intrusion detection system has detected malicious emails, block the emails immediately. If network port is dropping packets, isolate the port and move traffic to alternate port. The more autonomic actions we can take, the better we will be in managing our data center.

To summarize here's what we need in our data center: L-C-C-A

  • Lightning fast network of intelligent sensors across the data center stack
  • Central monitoring system which can monitor alerts/error logs at all layers from application down to the server
  • Co-relation engine which can correlate various alerts and error logs and pin points where in the data center there is issue
  • Artificial intelligence (AI) capable run-book automation engine which can trigger autonomous action (self-heal) based on the issue identified and implements the fix

In our next article on human body and data center automation we will focus on our circulator system which is responsible for flow of blood, oxygen and nutrients in our body and we will learn how our data center should learn from same. Until next time.

About Ashish Nanjiani
Ashish Nanjiani is a Senior IT Manager within Cisco IT managing Cisco worldwide IT data centers as an operations manager. With 20 years of IT experience, he is an expert in data center operations and automation. He has spoken in many inter-company events on data center automation and helps IT professionals digitize their IT operations. He is also an entrepreneur and has been successfully running a website business for 10+ years.

Ashish holds a Bachelor of Science degree in Electrical and Electronics and a Masters in Business Administration. He is a certified PMP, Scrum master. He is married and has two lovely daughters. He enjoys playing with technology during his free time. [email protected]

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VenueNext

SMITH
Eviot

BEAMER
goTraverse

GETTENS
goTraverse

CHAMBLISS
ReadyTalk

BLACK
SQLstream

KOCHER
Grey Heron

VISWA-
NATHAN

Cognizant

LARSSON
Qosmos

COHEN
Institute

SCHEELE
Loodse

HERBERTS
Cityzen Data

REITBAUER
Dynatrace

WILLIAM-
SON

Cloud
Computing

FEATHER-
STON

Collaborative
Consulting

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Tintri

SRINIVAS
IBM

AHUJA
Impiger

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AKAR

Splunk

TISH-
GART

Cloudera

SCHMARZO
EMC

KENDRICK
Isomorphic

KUCKEIN
DDN

WOOD
VeloCloud

WALLGREN
Electric Cloud

VARAN-
NATH

GE

RAVE
Teridion

CHOU
Microsoft

SRIDHARA-
BALAN

Pulzze

SHARIF
Aporeto

JAME-
NSKY

Embotics

METRIC
Linux

MONTES
Iced

ARIOLA
Parasoft

HOLT
Daitan

CUNNING-
HAM

ReadyTalk

BEDRO-
SIAN

Cypress

NAMIE
Cisco

JENKINS
IBM

DOYLE
eCube

THOM-
CHICK

Symantec

BRENTON
CollabNet

BERCO-
VICI

SolidFire

NAKA-
GAWA

Transparent
Cloud

SHIBATA
Transparent
Cloud

BOYD
Neo4j

BABIN
Kaltura

VANDER-
MINDEN

Flatiron
Strategies

MORAN
BMC

CASEY
CFN

ZHENG
CDS

WARD
DWE

DEMEO
Alfresco

STIGTER
TIBCO

MILLER
Covisint

EVAVOLD
Covisint

MEINER
Oracle

MEEHAN
Esri

WITECK
Citrix

LEUFFEN
Wrecker

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Anexia

NEW
HOUSE

Agilitiv

DE MENO
Commvault

VAN TUIN
Red Hat

LIANG
Rancher Labs

BUTLER
Tego

MURTHY
Cloud Raxak

REMIL-
LARD

Microsoft

MANN
Splunk

ROWE
IBM Cloud

SKILLERN
Intel

ALLEN
Progress

BENEDICT
Cognizant

SMITH
Numerex
Cloud Expo New York All-Star Speakers Include

DE MENO
Commvault

ERWAY
Appneta

KEYS
ConsenSys

HINCH-
CLIFFE

7Summits

DOYLE
eCube

CHAVES
Pythian

BLOOMBERG
Intellyx

BUGAYENKO
Teamed.io

LAWSON
NewSci

HAFF
RedHat

HOLT
IBM

Jewell
Codenvy

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CSC

ARMSTRONG
AppNeta

DWYER
Iron.io

MATSUMURA
Gradle

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Coho

CLELAND
HGST

VASILIOU
Catchpoint

WALLGREN
Electric Cloud

DE SOUZA
Cisco

RANDALL
Gartner

ARMSTRONG
AppNeta

SMALLTREE
Cazena

MCCARTHY
Bsquare

DELOACH
Infobright

QUINT
Ontegrity

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Buddy Platform

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GRECO
Kaazing

PRESLEY
Pythian

LOVELL-TROY
Pythian

PALIOTTA
Vector

ATCHISON
New Relic

BHUSVANE-
SHWARI

Microsoft

MITRA
Cognizant

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Grey Heron

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Keeper

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POULOS

Cloud9

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Tintri

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Two Bulls

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SHUBIN

Bit6

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BMC

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Smart

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Asurion

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Everbridge

MARSH
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SRINIVASAN
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HPE

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Alfresco

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SecureRF

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Anexia

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EastBanc

MORRISH
Interoute

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SoftLayer

OSTROVER-
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Mobidev

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Isomorphic

WATSON
Trendalyze

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Unigma

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Datical

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CIOT
Progress

SHAN
CTS

MATTELA
Redpine

MOR
Cloudyn

GILLEN
Spark
Coginition

SOLT
Netvibes

BERNARDO
GE Digital

ROMANSKY
TrustPoint

LEFORT
BMC

ANDERSON
BMC

BRODY
Webair

NIELSEN
Redis Labs

BEAMER
GoTransverse

LESTER
LogMeIn

PONO
-MAREVA

Google

SINGH
Sencha

CALKINS
Amadeus

SEHGAL
Tintri

KLEIN
Rachio

MANN
Splunk

HOASIN
Aeris

SARKARIA
PHEMI

SPROULE
Metavine

YOO
Fuze

SNELL
Intel

COTY
Alert Logic

LANDA
Kintone

CHOQUETTE
RackN

MARTIN
Security

LEVINE
CytexOne

ALLEN
Freewave

HURWITZ
Hurwitz & Assc.

HYEDT
Seamless

SWANN
Adobe

NGUYEN
Adobe

OXENHORN
FalconStor

RAJAGO-
PALAN

ACCELERITE

DESH-
PANDE

ACCELERITE

MURTHY
Cloud Raxak

HARRIS
Cloud Raxak

COLE
Peak 10

HUYNH
VAN

Glue Networks

SOBHANI
Constellation

BERMING
HAM

SIOS

STEELE
Hanu

AKELA
Appdynamics

DOWNEY
BMC

ERRAM
OUSPE

Spanning

SAADI
Govplace

JACOBS
Singlehop

KEE
GlobalSign

Cloud Expo Silicon Valley All-Star Speakers Include

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AppDynamics

VAN TUIN
Red Hat

DEMMER
Jut

COHEN
Netflix

MUCHANDI
Red Hat Inc

BORELLO
Sysdig

GILPIN
Conjur

KANADE
Harbinger
Systems

GORBACHEV
Systems
Services Inc.

SUSSMAN
Coalfire

KHAN
Solgeniakhela

CHOKSI
Harbinger
Systems

DE MENO
CommVault

BLOOMBERG
Intellyx

BUGWADIA
Nirmata

COTY
Alert Logic

FLETCHER
Alert Logic

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NIMBOXX

LYNN
AgilData

WAGNER
Cloudyn

ANAND
Appocito

WEISS
Pythian

BRODY
Webair

JACKSON
Softlayer

DAVIDSON
Juniper

HOFFMAN
Pivotal

VERVAET
HGST

Murthy
CloudRaxak

FRANCISCO
Evolute

LETCHIN
Nexenta

SIMON
JFrog

BONIFAZI
Solgenia

WEISS
ProfitBricks

HOLT
IBM

HANNON
SoftLayer

GALLO
SoftLayer

SAYEGH
Codero

BIMMU
Clouber

SRINIVAS
IBM

CHAVAN
IBM

HEDGES
Clouddata

AHUJA
Cloud

MEINER
Oracle

SWARTZ
Ericsson
Cloud Expo New York All-Star Speakers Included

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CompTIA

WARUSA
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WSO2 Inc

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Oracle

CHOU
Microsoft

HARRISON
Tufin

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VMware

KIM
MapR

KANE
Dyn

SICULAR
Basho

TURNER
Cloudian

KUMAR
Liaison

ADAMIAK
Liaison

KHAN
Solgenia

BONIFAZI
Solgenia

SUSSMAN
Coalfire

ISAACSON
RMS

LYNN
CodeFutures

HEABERLIN
Windstream

RAMA
MURTHY

Virtusa

BOSTOCK
IndependenceIT

DE MENO
CommVault

GRILLI
Adobe

WILLIAMS
Rancher Labs

CRISWELL
Alert Logic

COTY
Alert Logic

JACOBS
SingleHop

MARAVEI
Cisco

JACKSON
Softlayer

SINGH
IBM

HAZARD
Softlayer

GALLO
Softlayer

TAMASKAR
GENBAND

SUBRA
-MANIAN

Emcien

LEVESQUE
Windstream

IVANOV
StorPool

BLOOMBERG
EnterpriseWeb

BUDHANI
Soha

HATHAWAY
IBM Watson

TOLL
ProfitBricks

LANDRY
Microsoft

BEARFIELD
Blue Box

HERITAGE
Akana

PILUSO
SIASMSP

HOLT
IBM Cloudant

SHAN
CTS

PICCININNI
EMC

BRON-
GERSMA

Modulus

PAIGE
CenturyLink

SABHIKHI
Cognitive Scale

MILLS
Green House Data

KATZEN
CenturyLink

SLOPER
CenturyLink

SRINIVAS
EMC

TALREJA
Cisco

GORBACHEV
Systems Services Inc.

COLLISON
Apcera

PRABHU
OpenCrowd

LYNN
CodeFutures

SWARTZ
Ericsson

MOSHENKO
CoreOS

BERMINGHAM
SIOS

WILLIS
Stateless Networks

MURPHY
Gridstore

KHABE
Vicom

NIKOLOV
GetClouder

DIETZE
Windstream

DALRYMPLE
EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
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Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

BARRALL
Connected Data

SHIAH
AgilePoint

SEGIL
Verizon

PODURI
Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

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Quantum

OBEROI
Concurrent, Inc.

HATEM
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Autodesk

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NIMBOXX

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IBM

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1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

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Ubiquitous Corp

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GE

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GE

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Pivotal Software

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@CloudExpo Blogs
Quick quiz! What’s the first thing that comes to mind when you hear the following phrases? Artificial grass Artificial sweeteners Artificial flavors Artificial plants
The nature of test environments is inherently temporary—you set up an environment, run through an automated test suite, and then tear down the environment. If you can reduce the cycle time for this process down to hours or minutes, then you may be able to cut your test environment budgets considerably. The impact of cloud adoption on test environments is a valuable advancement in both cost savings and agility. The on-demand model takes advantage of public cloud APIs requiring only payment for the time needed to run automated tests. In this framework, success depends on two things: automated i...
Java 9 ships with some minor—yet awesome—new language features that make developing easier and cleaner. In this post, we’ll take a look at three of these new features. You probably remember interface methods, which were introduced in Java 8. These are required so that Java itself, as well as framework vendors, can add new methods to interfaces without breaking pre-existing implementations. As these methods can become rather complex, Java now enables you to declare interface methods as private. This allows for extracting common code from interface methods while hiding the code from external us...
Digital experience monitoring plays a vital role in the ecommerce economy. The industry is booming with millions of websites selling everything imaginable. Online stores are expected to be super fast and easy to navigate; users are quick to assess website performance and if said perceived performance is below expectations, they will quickly move on to competitor’s website.
Many enterprise and government IT organizations are realizing the benefits of cloud computing by extending IT delivery and management processes across private and public cloud services. But they are often challenged with balancing the need for centralized cloud governance without stifling user-driven innovation. This strategy requires an approach that fundamentally reshapes how IT is delivered today, shifting the focus from infrastructure to services aggregation, and mixing and matching the best services for meeting organizations’ current and future needs.
Cavirin Systems has just announced C2, a SaaS offering designed to bring continuous security assessment and remediation to hybrid environments, containers, and data centers. Cavirin C2 is deployed within Amazon Web Services (AWS) and features a flexible licensing model for easy scalability and clear pay-as-you-go pricing. Although native to AWS, it also supports assessment and remediation of virtual or container instances within Microsoft Azure, Google Cloud Platform (GCP), or on-premise. By drawing on a comprehensive library of curated industry guidelines, control frameworks, and best practi...
The question before companies today is not whether to become intelligent, it’s a question of how and how fast. The key is to adopt and deploy an intelligent application strategy while simultaneously preparing to scale that intelligence. In her session at 21st Cloud Expo, Sangeeta Chakraborty, Chief Customer Officer at Ayasdi, provided a tactical framework to become a truly intelligent enterprise, including how to identify the right applications for AI, how to build a Center of Excellence to operationalize the intelligence and how to implement a strategy to scale efforts. She pulled from her ex...
"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Troubleshooting a problem on a remote server, especially in production, is not an easy task. Sometimes it involves debugging the application code directly on the server. But the production servers are usually run in a strict environment, where not all convenient developer tools are available. In this article, you'll discover how to configure a running web server and debug your application using standard facilities provided by the Java platform.
One problem that all developers and companies struggle with is trying to decide if they should "build it" or "buy it". Software developers love to build things. That is what we do! Their natural reaction tends to lean towards building things. We are also always up for a new challenge. There are very good reasons for building or buying software. There are also good reasons to use open source projects, which is a third option.
The rule of thumb for network security today is that there is no perimeter anymore. An outsider can easily become an insider once perimeter security is breached. Every day, attackers find new ways to breach enterprise perimeter security through ransomware, malware or phishing through social engineering. This is not to suggest that all is lost. Rather, organizations can defeat cybercriminals, in part, by better managing what has already been put in place. As an example of what can go wrong if that doesn’t happen, consider the following story.
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be looking at some significant engineering investment. On-demand, serverless computing enables deve...
“Why incur the expense of generating and collecting all of this IoT data if you’re not going to monetize it?” Organizations are racing to embrace the Internet of Things (IoT) as the pundits create “visions of sugar-plums dancing in their heads.” McKinsey Global Institute released their study “The Internet of Things: Mapping the Value beyond the Hype” in June 2015 that highlighted the staggering financial value that IoT could create! (See Figure 1.)
Data Monetization! Data Monetization! Data Monetization! It’s the new mantra of many organizations. But what does “data monetization” really mean, how do you do it, and more importantly, who in the organization owns the job of “data monetization”? The role of Chief Data Officer (CDO) would seem to be a godsend to answer the data monetization challenge. They should be the catalyst in helping organizations to become more effective at leveraging data and analytics to power the digital transformation.
So data warehousing may not be cool anymore, you say? It’s yesterday’s technology (or 1990’s technology if you’re as old as me) that served yesterday’s business needs. And while it’s true that recent big data and data science technologies, architectures and methodologies seems to have rendered data warehousing to the back burner, it is entirely false that there is not a critical role for the data warehouse and Business Intelligence in digitally transformed organizations.
Bitcoins are a digital cryptocurrency and have been around since 2009. As a substitute for legal tender, they are becoming the rage for investors and others but because there is no government agency auditing or performing regulatory oversights, you wonder if it is the perfect breeding ground for electronic nanocrime. Since the introduction of the Bitcoin, some competitors have emerged and the whole segment of cryptocurrencies are defined as Altcoins. Altcoins include Dogecoin, Ethereum Feathercoin, Litecoin, Novacoin, Peercoin, and Zetacoin. Some of these cryptocurrencies are considered impro...
Let's do a visualization exercise. Imagine it's December 31, 2018, and you're ringing in the New Year with your friends and family. You think back on everything that you accomplished in the last year: your company's revenue is through the roof thanks to the success of your product, and you were promoted to Lead Developer. 2019 is poised to be an even bigger year for your company because you have the tools and insight to scale as quickly as demand requires. You're a happy human, and it's not just because of the bubbly in your glass. Now how does one turn this visualization into reality? You st...
The end of the year is a time for reflection. It’s when most of us are looking back at the choices, accomplishments, and mistakes of the year prior and setting goals to improve the following year. It’s also when businesses analyze the year’s trends and behaviors to determine necessary strategic changes to be made; however, if you aren’t analyzing the right metrics, such reflection is a useless effort. Below is an excerpt from an article provided by Elad Rave, founder and CTO of Teridion, explaining why TTLB (Time to Last Byte) should be one of the performance metrics on your radar.
identify the sources of event storms and performance anomalies will require automated, real-time root-cause analysis. I think Enterprise Management Associates said it well: “The data and metrics collected at instrumentation points across the application ecosystem are essential to performance monitoring and root cause analysis. However, analytics capable of transforming data and metrics into an application-focused report or dashboards are what separates actual application monitoring from relatively simple silo monitoring.
"Opsani helps the enterprise adopt containers, help them move their infrastructure into this modern world of DevOps, accelerate the delivery of new features into production, and really get them going on the container path," explained Ross Schibler, CEO of Opsani, and Peter Nickolov, CTO of Opsani, in this SYS-CON.tv interview at DevOps Summit at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.